Document Detail


A new, reliable, and simple-to-use method for the analysis of a population of values of a random variable using the Weibull probability distribution: application to acrylic bone cement fatigue results.
MedLine Citation:
PMID:  16179755     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In cases where the Weibull probability distribution is being investigated as a possible fit to experimentally obtained results of a random variable (V), there is, currently, no accurate and reliable but simple-to-use method available for simultaneously (a) establishing if the fit is of the two- or three-parameter variant of the distribution, and/or (b) estimating the minimum value of the variable (V(0)), in cases where the three-parameter variant is shown to be applicable. In the present work, the details of such a method -- which uses a simple nonlinear regression analysis -- are presented, together with results of its use when applied to 4 sets of number-of-cycles-to-fracture results from fatigue tests, performed in our laboratory, using specimens fabricated from 3 different acrylic bone cement formulations. The key result of the method is that the two- or three-parameter variant of the probability distribution is applicable if the estimate of V(0) obtained is less than or greater than zero, respectively.
Authors:
Sied Janna; David P Dwiggins; Gladius Lewis
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Publication Detail:
Type:  Evaluation Studies; Journal Article    
Journal Detail:
Title:  Bio-medical materials and engineering     Volume:  15     ISSN:  0959-2989     ISO Abbreviation:  Biomed Mater Eng     Publication Date:  2005  
Date Detail:
Created Date:  2005-09-23     Completed Date:  2006-01-23     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9104021     Medline TA:  Biomed Mater Eng     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  349-55     Citation Subset:  IM    
Affiliation:
Department of Mechanical Engineering, The University of Memphis, TN 38152-3180, USA.
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Cementation / methods*
Computer Simulation
Data Interpretation, Statistical
Materials Testing / methods*
Models, Chemical*
Models, Statistical*
Polymethyl Methacrylate / analysis*,  chemistry*
Regression Analysis
Statistical Distributions
Tensile Strength
Chemical
Reg. No./Substance:
9011-14-7/Polymethyl Methacrylate

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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